吳俊瑩 Dani el 資料科學家/ AI專案管理/ IE工程師 ·4年網通智能製造經驗，負責工業4.0數位轉型專案 ·統計背景、對數字高度敏銳，能夠有效運用數據 ·思緒縝密、規劃能力強，領導團隊朝目標推進 ·積極主動、學習能力佳，持續吸收新知識 danielwu0221@protonmail

and Data Enginner license AWS Hold AWS Certified Solutions Architect – Associate license. EducationFu Jen Catholic University Department of Library and Information ScienceBigData Analyst Class(AB106) coding bootcamp(Institute for Information Industry) Experience FebApr 2023 Solutions Architect CKmates Responsible for AWS cloud architecture and solution design. AprJan 2023 Cloud Data Engineer SinYi Realty Inc. Responsible for Azure cloud architecture and Data ETL Pipeline development and management. JanApr 2022 Backend Engineer AnFu Solutions Inc. Responsible for AWS cloud environment management and architecture, ETL data cleaning, and Python API development. Project experience: House+ : Data cleaning process

陳冠廷 Nero Chen Majoring in AIoT and data science, I am taught to grow into a person with positive attitude and willing to learn and progress. Being an active, creative and innovative member in a team, I can always provide different ideas through brainstorming. With numerous experiences and a great ability to deal with problem solving, I have strong determination to succeed and hope to make a contribution to every opportunity.I am willing to share my new knowledge with more people .Co-work and grow together with others, that is my goal in

MongoDB Google Cloud Dataflow Airflow | GCP Composer Quality, Testing Junits Cucumber Sonar Jmeter Veracode Scan Tools Jira Scrum Kanban Git Eclipse | InteliJ Maven | Gradle Team Lead Code Review Peer Programming Growth Discussion New Technology Sessions Stories Grooming Work Experience Manager Technology • Publicis Sapient | MayPresent Banking Project : Migration to Google Cloud | Data Science Platform. Roles & Responsibility: Project Manager, People Growth, End to End Delivery Ownership. Requirement gathering, Stories Grooming, high level module design, data model design discussion & closure. Involved in an environment set up on Google cloud platform. Microservice Template Creation CI/CD Pipeline setup SRE

Sep 2019 Hospital Information Mamagement Office Programmer, main work is Healthcare Information System(HIS) refactor, full stack developer - back-end： Javascript/Typescript + express + RESTful api - front-end： Framework AngularHTML - git flow(GitLab) - MSSQL(CRUD) and Informix(select data) + stored procedure International Integrated Systems(III), Programmer, Jul 2018 ~ Feb 2019 Outsourcing Companty work is maintain CWB's web - Use php (codeigniter2,3) - HTML + jQuery + CSS - Working in Linux OS - MSSQL、MYSQL database - Survey Jmeter Education National Dong Hwa University, Master, CSIE, 2015 ~ 2018 Takming University of Science and Technology, Department of information technology , 2011 ~ 2015

Tzu-Hsuan (Andrea) Chuang Medical Laboratory Director - management and certification Medical Research Head - clinical Research, Statistics ISO 15189/LDTs Accredition , SCI publication Tel:Email: [email protected] Work Experience Director, Lab of next-generation sequencing Stork Fertility Center • JunPresent Laboratory management: budget plan, personnel training, QC/QA, complaint handling Major service: preimplantation genetic testing, expanded carrier screening Honor: Mission accomplishment awardCorporate Annual Group Award) Head of Medical Research Stork Fertility Center • JunPresent Clinical trials: project plan, statistical skills (STATA, SPSS), IRB approval, academic hospitals collaboration Data warehouse: data cleaning, outcome visualization, regression models, SCI publications (~1

To implement the app recommendation feature for KaiStore, collaborating with the Data team is essential to detect the user's location and recommend a suitable ranking app list for that region. This process may involve cross-border collaboration and requires the creation of API documentation. Discussions with the Data team to resolve performance issues for the API payload. Additionally, this app ranking list functionality includes a Progressive Web Apps (PWA) crawler feature, which will be used to reconstruct the existing data structure based on a large number of PWA apps crawled by the Data team to improve